Data Engineering Techniques for Machine Learning and Heuristics

Chandrasekar Vuppalapati
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Chandrasekar Vuppalapati: San Jose State University

Chapter Chapter 3 in Artificial Intelligence and Heuristics for Enhanced Food Security, 2022, pp 137-186 from Springer

Abstract: Abstract This chapter introduces food security data sources and data engineering attributes for handling agricultural datasets. The chapter starts with heuristics data and frequencies and introduces food security long tail. Next, the chapter introduces data enrichment techniques to fix any data-related issues. Finally, the chapter concludes with food security risk model that was due to potential food-fuel policy change.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-031-08743-1_3

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DOI: 10.1007/978-3-031-08743-1_3

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